Nearest neighbor-based imputation in treating data sets with missing values and their effects in the clustering accuracy

Nearest neighbor-based imputation in treating data sets with missing values and their effects in the clustering accuracy

The K-Nearest Neighbor (KNN) imputation method, along with the more commonly used imputation methods mean and median imputations, were used in treating incomplete data sets. In order to obtain a clear comparison, three complete data sets were used with two types of missingness: missing completely at...

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Bibliographic Details
Main Author: Onggo, Raphael John Rule
Format: Thesis
Language:English
Published: 2008
Subjects:
Imputation methods.
KNN (K-Nearest Neighbor)
K-means clustering..
Clustering.
MCAR (Missing completely at random)
Data sets.